Job Description: DevOps Engineer, AI Infrastructure
Location: Bengaluru, India
Experience: 3+ years
Employment Type: Full-time
Department: Software Engineering

About the Role
We are looking for a DevOps Engineer with robust exposure to AI infrastructure to build, operate, and scale the systems that power our products.
This role goes beyond traditional CI/CD and cloud operations. You will work on Amazon EKS, GPU infrastructure, AI workloads, scalable databases, vector databases, distributed systems, observability, and production reliability. You will partner closely with application, data, and AI engineering teams to ensure that our infrastructure remains secure, performant, cost-efficient, and highly available as usage grows.

Key Responsibilities
Design, deploy, and manage production infrastructure on AWS.
Operate and optimize Amazon EKS clusters for microservices, data workloads, and AI/ML applications.
Manage Kubernetes workloads, including deployments, services, ingress, autoscaling, storage, networking, and cluster upgrades.




Build infrastructure and deployment automation using Infrastructure as Code.
Develop and maintain reliable CI/CD pipelines for application and infrastructure releases.
Manage GPU-enabled infrastructure for AI inference, model serving, training, and batch workloads.
Optimize GPU utilization, scheduling, provisioning, capacity planning, and cost.
Configure and maintain GPU-enabled Kubernetes nodes, including drivers, device plugins, node pools, taints, tolerations, and workload isolation.
Support scaling of relational and non-relational databases for increasing traffic and data volumes.
Improve database availability, performance, replication, read scaling, backups, failover, and disaster recovery.
Design and operate scalable vector database infrastructure for embeddings, semantic search, and retrieval-augmented generation workloads.
Work with distributed vector database architectures, sharding, replication, partitioning, indexing, and horizo

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